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    Serverless Design Patterns and Best Practices
    Cód:
    491_9781788620642

    Por: R$ 410,07ou X de

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    Get started with designing your serverless application using optimum design patterns and industry standard practicesKey FeaturesLearn the details of popular software patterns and how they are applied to serverless applicationsUnderstand key concepts and components in serverless designsWalk away with a thorough understanding of architecting serverless applicationsBook DescriptionServerless applications handle many problems that developers face when running systems and servers. The serverless pay-per-invocation model can also result in drastic cost savings, contributing to its popularity. While its simple to create a basic serverless application, its critical to structure your software correctly to ensure it continues to succeed as it grows. Serverless Design Patterns and Best Practices presents patterns that can be adapted to run in a serverless environment. You will learn how to develop applications that are scalable, fault tolerant, and well-tested. The book begins with an introduction to the different design pattern categories available for serverless applications. You will learn thetrade-offs between GraphQL and REST and how they fare regarding overall application design in a serverless ecosystem. The book will also show you how to migrate an existing API to a serverless backend using AWS API Gateway. You will learn how to build event-driven applications using queuing and streaming systems, such as AWS Simple Queuing Service (SQS) and AWS Kinesis. Patterns for data-intensive serverless application are also explained, including the lambda architecture and MapReduce. This book will equip you with the knowledge and skills you need to develop scalable and resilient serverless applications confidently.What you will learnComprehend the popular design patterns currently being used with serverless architecturesUnderstand the various design options and corresponding implementations for serverless web application APIsLearn multiple patterns for data-intens
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